Paper
4 December 2000 Perspective invariant function using dyadic wavelet transform
Mahmoud I. Khalil, Mohamed M. Bayoumi
Author Affiliations +
Abstract
A perspective invariant function has been derived. It is based on analyzing the object boundary using the dyadic wavelet transform. Five dyadic wavelet transfer levels are used to define the invariant function. The selection of the dyadic levels is discussed. Experimental results test the recognition power of the proposed invariant function. In addition, the stability of the invariant function is examined.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mahmoud I. Khalil and Mohamed M. Bayoumi "Perspective invariant function using dyadic wavelet transform", Proc. SPIE 4119, Wavelet Applications in Signal and Image Processing VIII, (4 December 2000); https://doi.org/10.1117/12.408590
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Wavelet transforms

Correlation function

Object recognition

Computer vision technology

Machine vision

Wavelets

Biological research

Back to Top